Deep Learning and Computer Vision in R: A Practical Introduction
BIBC2025 workshop
Patrick Li
RSFAS, ANU
About me
I am Patrick Li
- Education background
- Current work
- Past experience in CV
Content summary
- Overview of computer vision (CV)
reticulatebasics- Neural networks
- Image classification
- Hyperparameter tuning
- CV model interpretation
- Object detection
- Image segmentation
Disclaimer
Code and theory
This workshop is a hands-on introduction to modern computer vision in R. You’ll work through code examples and practical exercises. Theory will be covered only to the extent needed to understand the key ideas and statistical foundations behind the models.
Reproducibility
Computer vision models can be only partly reproducible due to GPU computation. Don’t be surprised if your results differ from those shown in the materials.
Expectation
How confident should I be coming into this workshop?
You are good to go!
There will be some new concepts and terminology, but nearly everything can be explained in statistical terms. Don’t be intimidated by CV jargon.
Overview of computer vision
Slides URL: https://ibsar-cv-workshop.patrickli.org/ | Canberra time